import sys
sys.path.append('../')
from utils import *
import librosa
import pandas as pd
import json

Read metadata file

f = open('Data/metadata.json')
metadata = json.load(f)

# view metadata present in the file
metadata

{'start_time': 1371,
 'duration': 23,
 'vocal_audio_path': 'Data/NIRP1_RamD_RagBah_Vox.wav',
 'mix_audio_path': 'Data/NIRP1_RamD_RagBah_Stereomix.wav',
 'tabla_audio_path': 'Data/NIRP1_RamD_RagBah_Tabla.wav',
 'cycle_file': 'Data/NIRP1_RamD_RagBah_Teental.csv',
 'num_div': 16}

Play the audio being analysed

playAudio(audioPath=metadata['mix_audio_path'], startTime=metadata['start_time'], duration=metadata['duration'])

Initialise and populate the figure

%%capture
# initialise figure, with 3 subplots
fig, axs = generateFig(3, (14, 7), [2, 3, 3])

# plot waveplot
axs[0] = drawWave(audioPath=metadata['mix_audio_path'], startTime=metadata['start_time'], duration=metadata['duration'], ax=axs[0], annotate=False, cyclePath=metadata['cycle_file'], numDiv=metadata['num_div'])
# plot spetogram 1
axs[1] = spectrogram(audioPath=metadata['vocal_audio_path'], startTime=metadata['start_time'], duration=metadata['duration'], cmap='Blues', ax=axs[1], yticks=True, annotate=True, cyclePath=metadata['cycle_file'], numDiv=metadata['num_div'], cAnnot='orange', annotLabel=False, title='Vocal Spectrogram')
# plot spetogram 2
axs[2] = spectrogram(audioPath=metadata['tabla_audio_path'], startTime=metadata['start_time'], duration=metadata['duration'], cmap='Oranges', ax=axs[2], yticks=True, annotate=True, cyclePath=metadata['cycle_file'], numDiv=metadata['num_div'], cAnnot='purple', title='Tabla Spectrogram')

fig